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基于BP神经网络的曲轴最佳滚压参数的研究
引用本文:薛隆泉,徐国宁,刘荣昌,贾小刚. 基于BP神经网络的曲轴最佳滚压参数的研究[J]. 内燃机工程, 2007, 28(4): 61-64
作者姓名:薛隆泉  徐国宁  刘荣昌  贾小刚
作者单位:西安理工大学,机仪学院,西安,710048;河北科技师范学院,机械电子系;武警工程学院,军械运输系
基金项目:国家自然科学基金;河北省科技攻关项目
摘    要:基于最佳残余应力理论,利用ANSYS有限元软件对480Q曲轴具体工况进行有限元模拟,得到对应的最佳残余应力。利用DEFORM有限元软件针对此曲轴进行了滚压试验,得到数组不同滚压参数对应的残余应力。利用神经网络进行训练得到滚压参数与残余应力的对应关系。最后,利用此网络找到与最佳残余应力对应的最佳滚压参数,为实际生产提供可靠的参考。

关 键 词:内燃机  曲轴  最佳残余应力  正交试验  神经网络
文章编号:1000-0925(2007)04-061-04
修稿时间:2006-09-12

Research on Optimal Crankshaft Rolling Parameter Using BP Neural Network
XUE Long-quan,XU Guo-ning,LIU Rong-chang,JIA Xiao-gang. Research on Optimal Crankshaft Rolling Parameter Using BP Neural Network[J]. Chinese Internal Combustion Engine Engineering, 2007, 28(4): 61-64
Authors:XUE Long-quan  XU Guo-ning  LIU Rong-chang  JIA Xiao-gang
Abstract:Based on the theory of optimal residual stress,the operation status of the crankshaft of 480Q engine was simulated by using ANSYS software and the corresponding optimal residual stress was obtaind.At the same time,the fillet rolling experiment of the crankshaft was performed by means of DEFORM software and a set of residual stress data when using different rolling parameter was obtained.The corresponding relation between rolling parameter and residual stress was obtained by artificial neural networks(ANNs).Finally, the optimal rolling parameter corresponding to the optimal residual stress was found out using ANNs,which provided a credible reference for practical production.
Keywords:IC engine  crankshaft  optimal residual stress  orthogonal experiment  artificial neural network
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